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ammieqi's Projects

2d-tan icon 2d-tan

AAAI‘20 - Learning 2D Temporal Localization Networks for Moment Localization with Natural Language

2s-agcn icon 2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

3dnet_visualization icon 3dnet_visualization

Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150); C3D, R3D, I3D, MF Net is support now!

aaai2020 icon aaai2020

A PyTorch implementation for Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

aanet icon aanet

AANet: Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020

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Asynchronous Bidirectional Decoding for Neural Machine Translation

abdnmt-rnmt icon abdnmt-rnmt

Asynchronous bidirectional decoding for neural machine translation. RNMT-based and implemented in PyTorch.

abivirnet icon abivirnet

Attention Bidirectional Video Recurrent Net

ablr_code icon ablr_code

The source code of the paper: "To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression"

acme icon acme

Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images

activitynet icon activitynet

This repository is intended to host tools and demos for ActivityNet

adec icon adec

Deep Embedded Clustering With Adversarial Distribution Adaptation

adv-inf icon adv-inf

Adversarial Inference for Multi-Sentence Video Descriptions (CVPR 2019)

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial_video_summary icon adversarial_video_summary

A PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

aggcn icon aggcn

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

aghmn icon aghmn

Implementation of the paper "Real-Time Emotion Recognition via Attention GatedHierarchical Memory Network".

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